ArticleApplied and environmental microbiology2021
Spatial scale structure soil bacterial communities across an Arctic landscape.
Article in Applied and environmental microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Microbial Community Succession Sustains Fish Diversity in the Upper Yangtze River Reserve.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Unravelling Changes in the Pinus radiata Root and Soil Microbiomes as a Function of Aridity.Global change biology · 2025Article
- Variations in soil microbial community structure and extracellular enzymatic activities along a forest-wetland ecotone in high-latitude permafrost regions.Ecology and evolution · 2023Article
- Analysis of Bacterial Communities around the Adventdalen Landfill Site in Svalbard.Microorganisms · 2023Article
- Soil microorganisms and methane emissions in response to short-term warming field incubation in Svalbard.Frontiers in microbiology · 2023Article
- Analysis of soil bacterial communities and physicochemical properties associated with Fusarium wilt disease of banana in Malaysia.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
Bacterial community composition is largely influenced by environmental factors, and this applies to the Arctic region. However, little is known about the role of spatial factors in structuring such communities. In this study, we evaluated the influence of spatial scale on bacterial community structure across an Arctic landscape. Our results showed that spatial factors accounted for approximately 10% of the variation at the landscape scale, equivalent to observations across the whole Arctic region, suggesting that while the role and magnitude of other processes involved in community structure may vary, the role of dispersal may be stable globally in the region. We assessed dispersal limitation by identifying the spatial autocorrelation distance, standing at approximately 60 m, which would be required in order to obtain fully independent samples and may inform future sampling strategies in the region. Finally, indicator taxa with strong statistical correlations with environment variables were identified. However, we showed that these strong taxa-environment associations may not always be reflected in the geographical distribution of these taxa.
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Registered trials
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